LENOVO 83DA
Geekbench AI Score
2186
Single Precision Score
9085
Half Precision Score
14072
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | exalted |
| Upload Date | September 12 2025 08:52 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DA |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1271
236.4 IPS |
|
|
Image Classification (HP)
|
100% |
6522
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
9398
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2460
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3084
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3362
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
30383
35.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
64934
76.1 IPS |
|
|
Object Detection (SP)
|
100% |
1189
94.3 IPS |
|
|
Object Detection (HP)
|
100% |
5267
417.8 IPS |
|
|
Object Detection (Q)
|
88% |
9300
745.6 IPS |
|
|
Face Detection (SP)
|
100% |
3816
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
15422
183.2 IPS |
|
|
Face Detection (Q)
|
100% |
27953
332.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3605
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17639
135.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
31732
246.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6033
7.76 IPS |
|
|
Style Transfer (HP)
|
100% |
50123
64.4 IPS |
|
|
Style Transfer (Q)
|
98% |
86376
111.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1271
46.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13698
505.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28209
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
1350
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1934
2.58 KIPS |
|
|
Text Classification (Q)
|
92% |
1895
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1664
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4133
71.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4248
73.2 IPS |
